KNET: Integrating Hypertext and Normative Bayesian Modeling

Abstract: KNET is a general-purpose shell for constructing expert systems based on
belief networks and decsion networks. Such networks serve as graphical
representations for decision models, in which the knowledge engineer must
define clearly the alternatives, states, preferences, and relationships that
constitute a decision basis. KNET contains a knolwedge-engineering core
written in Object Pascal and an interface that tightly integrates HyperCard, a
hypertext authoring tool for the Apple Macintosh computer, into a novel expert
system architecture. Hypertext and hypermedia have become increasingly
important in the storage, management, and retrieval of information. In broad
terms, hypermedia deliver extensively cross-referenced packages. The
resulting KNET system features a coherent probabilstic scheme for managing
uncertainty, an object oriented graphics editor for drawing and manipulating
decision networks, and HyperCard's potential for quickly constructing flexible
and friendly user interfaces. We envision KNET as a useful prototyping tool
for our ongoing research on a variety of Bayesian reasoning problems,
including tractable representation, inference, and explanation.